Enables organizations to embrace AI with
confidence by providing unparalleled insights into all layers of
AI-powered applications, helping ensure security, reliability,
performance, and cost-effectiveness
Dynatrace (NYSE: DT), the leader in unified observability and
security, today announced it has extended its analytics and
automation platform to provide holistic observability and security
for large language models (LLMs) and generative AI-powered
applications. This enhancement to the Dynatrace® platform enables
organizations worldwide to embrace generative AI confidently and
cost-effectively as part of their focus on increasing innovation,
productivity, and revenue.
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the full release here:
https://www.businesswire.com/news/home/20240131857760/en/
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Dynatrace® AI Observability is a comprehensive solution. It
covers the end-to-end AI stack, including infrastructure, such as
Nvidia® GPUs, foundational models, such as GPT4, semantic caches
and vector databases, such as Weaviate, and orchestration
frameworks, such as LangChain. It also supports the major platforms
for building, training, and delivering AI models, including
Microsoft® Azure OpenAI Service, Amazon® SageMaker, and Google® AI
Platform.
Dynatrace AI Observability leverages the platform’s Davis® AI
and other core technologies to deliver a precise and complete view
of AI-powered applications. As a result, organizations can provide
great user experiences while identifying performance bottlenecks
and root causes automatically. Dynatrace AI Observability with
Davis AI also helps them comply with privacy and security
regulations and governance standards by tracing the origins of the
output created by their apps with precision. Additionally, it helps
them forecast and control costs by monitoring their consumption of
tokens, which are the basic units that generative AI models use to
process queries.
“Generative and predictive AI will unlock new possibilities for
our business with our ML and LLM services, but to implement them
successfully, we need to ensure that our services supporting these
critical workloads are reliable and perform well,” said Ryan Berry,
SVP Engineering & Architecture at OneStream. “That’s why we
rely on Dynatrace, a leader in AI and observability. Our teams use
Dynatrace to build and optimize generative AI apps that perform
well and are cost effective to manage and deploy at scale.”
Gartner® states, “By 2028, the adoption of AI will culminate in
over 50% of cloud compute resources devoted to AI workloads, up
from less than 10% in 2023.i” This growth partially reflects
organizations’ surging interest in generative AI to improve
efficiency and productivity, drive automation, and foster
innovation. Despite this momentum, many organizations are concerned
about costs associated with generative AI-powered services. These
can be many times more expensive than traditional cloud services
and are difficult to forecast because they are based on the
consumption of generative AI tokens by applications that are not
yet in production. Simultaneously, governments worldwide are
establishing regulations focused on the use of AI technologies in a
responsible and ethical manner and in compliance with applicable
laws.
Organizations cannot afford to ignore the potential of
generative AI. However, they need comprehensive AI observability to
help their generative AI investments succeed and avoid the risk of
unpredictable behaviors, AI “hallucinations,” and bad user
experiences.
“Generative AI is the new frontier of digital transformation,”
said Bernd Greifeneder, CTO at Dynatrace. “This technology enables
organizations to create innovative solutions that boost
productivity, profitability, and competitiveness. While
transformational, it also poses new challenges for security,
transparency, reliability, experience, and cost management.
Organizations need AI observability that covers every aspect of
their generative AI solutions to overcome these challenges.
Dynatrace is extending its observability and AI leadership to meet
this need, helping customers to embrace AI confidently and securely
with unparalleled insights into their generative AI-driven
applications.”
“AI-powered transformation is a key driver of productivity and
competitiveness for organizations worldwide,” said Ali Dalloul, VP,
AI, Microsoft. “Microsoft Azure OpenAI Service is a robust
generative AI solution for enterprises and public sector entities
across the globe. We're pleased to partner with Dynatrace, a leader
in AI-powered observability, to empower our shared customers, the
teams driving innovation in the world’s largest organizations, to
create generative AI-based services using Azure Open AI Service and
Dynatrace AI Observability. This powerful combination helps ensure
these services achieve the highest security, reliability, and
performance standards while enabling the teams that manage them to
control costs.”
Dynatrace AI Observability is available starting today for all
Dynatrace customers. Visit the Dynatrace website for the current
list of technologies and integrations supported by Dynatrace AI
Observability. Visit the Dynatrace AI Observability blog for
additional details about the solution.
About Dynatrace
Dynatrace (NYSE: DT) exists to make the world’s software work
perfectly. Our unified platform combines broad and deep
observability and continuous runtime application security with
Davis® hypermodal AI to provide answers and intelligent automation
from data at an enormous scale. This enables innovators to
modernize and automate cloud operations, deliver software faster
and more securely, and ensure flawless digital experiences. That’s
why the world’s largest organizations trust the Dynatrace® platform
to accelerate digital transformation.
Curious to see how you can simplify your cloud and maximize the
impact of your digital teams? Let us show you. Sign up for a 15-day
Dynatrace trial.
Cautionary Language Concerning Forward-Looking
Statements
This press release includes certain “forward-looking statements”
within the meaning of the Private Securities Litigation Reform Act
of 1995, including statements regarding the capabilities of
generative AI and Dynatrace AI Observability, and the expected
benefits to organizations from using generative AI and Dynatrace AI
Observability. These forward-looking statements include all
statements that are not historical facts and statements identified
by words such as “will,” “expects,” “anticipates,” “intends,”
“plans,” “believes,” “seeks,” “estimates,” and words of similar
meaning. These forward-looking statements reflect our current views
about our plans, intentions, expectations, strategies, and
prospects, which are based on the information currently available
to us and on assumptions we have made. Although we believe that our
plans, intentions, expectations, strategies, and prospects as
reflected in or suggested by those forward-looking statements are
reasonable, we can give no assurance that the plans, intentions,
expectations, or strategies will be attained or achieved. Actual
results may differ materially from those described in the
forward-looking statements and will be affected by a variety of
risks and factors that are beyond our control, including the risks
set forth under the caption “Risk Factors” in our Quarterly Report
on Form 10-Q filed on November 2, 2023, and our other SEC filings.
We assume no obligation to update any forward-looking statements
contained in this document as a result of new information, future
events, or otherwise.
i Gartner IT Symposium/Xpo 2023, "The Future of Cloud in 2028:
From Technology to Business Necessity," Milind Govekar, 6-9
November 20.
GARTNER is a registered trademark and service mark of Gartner,
Inc. and/or its affiliates in the U.S. and internationally and is
used herein with permission. All rights reserved.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240131857760/en/
Investor Contact: Noelle Faris VP, Investor Relations
Noelle.Faris@dynatrace.com
Media Relations: Jerome Stewart VP, Communications
Jerome.Stewart@dynatrace.com
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